G01 Chapter Contents (PDF version)
G01 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

G01 – Simple Calculations on Statistical Data

G01 Chapter Introduction

Routine
Name
Mark of
Introduction

Purpose
G01AAF
Example Text
Example Data
4 Mean, variance, skewness, kurtosis, etc., one variable, from raw data
G01ABF
Example Text
Example Data
4 Mean, variance, skewness, kurtosis, etc., two variables, from raw data
G01ADF
Example Text
Example Data
4 Mean, variance, skewness, kurtosis, etc., one variable, from frequency table
G01AEF
Example Text
Example Data
4 Frequency table from raw data
G01AFF
Example Text
Example Data
4 Two-way contingency table analysis, with χ2/Fisher's exact test
G01AGF
Example Text
Example Data
8 Lineprinter scatterplot of two variables
G01AHF
Example Text
Example Data
8 Lineprinter scatterplot of one variable against Normal scores
G01AJF
Example Text
Example Data
10 Lineprinter histogram of one variable
G01ALF
Example Text
Example Data
14 Computes a five-point summary (median, hinges and extremes)
G01AMF
Example Text
Example Data
22 Find quantiles of an unordered vector, real numbers
G01ARF
Example Text
Example Data
14 Constructs a stem and leaf plot
G01ASF
Example Text
Example Data
14 Constructs a box and whisker plot
G01BJF
Example Text
Example Data
13 Binomial distribution function
G01BKF
Example Text
Example Data
13 Poisson distribution function
G01BLF
Example Text
Example Data
13 Hypergeometric distribution function
G01DAF
Example Text
8 Normal scores, accurate values
G01DBF
Example Text
12 Normal scores, approximate values
G01DCF
Example Text
12 Normal scores, approximate variance-covariance matrix
G01DDF
Example Text
Example Data
12 Shapiro and Wilk's W test for Normality
G01DHF
Example Text
Example Data
15 Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores
G01EAF
Example Text
Example Data
15 Computes probabilities for the standard Normal distribution
G01EBF
Example Text
Example Data
14 Computes probabilities for Student's t-distribution
G01ECF
Example Text
Example Data
14 Computes probabilities for χ2 distribution
G01EDF
Example Text
Example Data
14 Computes probabilities for F-distribution
G01EEF
Example Text
Example Data
14 Computes upper and lower tail probabilities and probability density function for the beta distribution
G01EFF
Example Text
Example Data
14 Computes probabilities for the gamma distribution
G01EMF
Example Text
Example Data
15 Computes probability for the Studentized range statistic
G01EPF
Example Text
Example Data
15 Computes bounds for the significance of a Durbin–Watson statistic
G01ERF
Example Text
Example Data
16 Computes probability for von Mises distribution
G01ETF
Example Text
Example Data
21 Landau distribution function Φ(λ)
G01EUF
Example Text
Example Data
21 Vavilov distribution function ΦV(λ ; κ,β2)
G01EYF
Example Text
Example Data
14 Computes probabilities for the one-sample Kolmogorov–Smirnov distribution
G01EZF
Example Text
Example Data
14 Computes probabilities for the two-sample Kolmogorov–Smirnov distribution
G01FAF
Example Text
Example Data
15 Computes deviates for the standard Normal distribution
G01FBF
Example Text
Example Data
14 Computes deviates for Student's t-distribution
G01FCF
Example Text
Example Data
14 Computes deviates for the χ2 distribution
G01FDF
Example Text
Example Data
14 Computes deviates for the F-distribution
G01FEF
Example Text
Example Data
14 Computes deviates for the beta distribution
G01FFF
Example Text
Example Data
14 Computes deviates for the gamma distribution
G01FMF
Example Text
Example Data
15 Computes deviates for the Studentized range statistic
G01FTF
Example Text
Example Data
21 Landau inverse function Ψ(x)
G01GBF
Example Text
Example Data
14 Computes probabilities for the non-central Student's t-distribution
G01GCF
Example Text
Example Data
14 Computes probabilities for the non-central χ2 distribution
G01GDF
Example Text
Example Data
14 Computes probabilities for the non-central F-distribution
G01GEF
Example Text
Example Data
14 Computes probabilities for the non-central beta distribution
G01HAF
Example Text
Example Data
14 Computes probability for the bivariate Normal distribution
G01HBF
Example Text
Example Data
15 Computes probabilities for the multivariate Normal distribution
G01JCF
Example Text
Example Data
14 Computes probability for a positive linear combination of χ2 variables
G01JDF
Example Text
Example Data
15 Computes lower tail probability for a linear combination of (central) χ2 variables
G01MBF
Example Text
Example Data
15 Computes reciprocal of Mills' Ratio
G01MTF
Example Text
Example Data
21 Landau density function φ(λ)
G01MUF
Example Text
Example Data
21 Vavilov density function φV(λ ; κ,β2)
G01NAF
Example Text
Example Data
16 Cumulants and moments of quadratic forms in Normal variables
G01NBF
Example Text
Example Data
16 Moments of ratios of quadratic forms in Normal variables, and related statistics
G01PTF
Example Text
Example Data
21 Landau first moment function Φ1(x)
G01QTF
Example Text
Example Data
21 Landau second moment function Φ2(x)
G01RTF
Example Text
Example Data
21 Landau derivative function φ(λ)
G01ZUF 21 Initialization routine for G01MUF and G01EUF

G01 Chapter Contents (PDF version)
G01 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2009